Profile Report

Overview
Reproduction

Dataset statistics

Number of variables	7
Number of observations	768
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	48.0 KiB
Average record size in memory	64.0 B

Variable types

Numeric	6
Categorical	1

Reproduction

Analysis started	2024-05-24 14:56:48.840648
Analysis finished	2024-05-24 14:56:57.472001
Duration	8.63 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

Glucose
Real number (ℝ)

Distinct	47
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72.39761

Minimum	24
Maximum	122
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	24
5-th percentile	52
Q1	64
median	72.119492
Q3	80
95-th percentile	90
Maximum	122
Range	98
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	12.096396
Coefficient of variation (CV)	0.16708281
Kurtosis	1.0980642
Mean	72.39761
Median Absolute Deviation (MAD)	7.8805085
Skewness	0.13918694
Sum	55601.364
Variance	146.32279
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
70	57	7.4%
74	52	6.8%
68	45	5.9%
78	45	5.9%
72	44	5.7%
64	43	5.6%
80	40	5.2%
76	39	5.1%
60	37	4.8%
72.23898305	35	4.6%
Other values (37)	331	43.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24	1	0.1%
30	2	0.3%
38	1	0.1%
40	1	0.1%
44	4	0.5%
46	2	0.3%
48	5	0.7%
50	13	1.7%
52	11	1.4%
54	11	1.4%

Value	Count	Frequency (%)
122	1	0.1%
114	1	0.1%
110	3	0.4%
108	2	0.3%
106	3	0.4%
104	2	0.3%
102	1	0.1%
100	3	0.4%
98	3	0.4%
96	4	0.5%

BloodPressure
Real number (ℝ)

Distinct	186
Distinct (%)	24.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	154.95509

Minimum	14
Maximum	846
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	14
5-th percentile	50
Q1	121.5
median	154.33025
Q3	154.33025
95-th percentile	293
Maximum	846
Range	832
Interquartile range (IQR)	32.830247

Descriptive statistics

Standard deviation	85.02329
Coefficient of variation (CV)	0.54869632
Kurtosis	15.268338
Mean	154.95509
Median Absolute Deviation (MAD)	3.6697531
Skewness	3.039833
Sum	119005.51
Variance	7228.9599
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
154.3302469	374	48.7%
105	11	1.4%
140	9	1.2%
130	9	1.2%
120	8	1.0%
100	7	0.9%
94	7	0.9%
180	7	0.9%
135	6	0.8%
115	6	0.8%
Other values (176)	324	42.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14	1	0.1%
15	1	0.1%
16	1	0.1%
18	2	0.3%
22	1	0.1%
23	2	0.3%
25	1	0.1%
29	1	0.1%
32	1	0.1%
36	3	0.4%

Value	Count	Frequency (%)
846	1	0.1%
744	1	0.1%
680	1	0.1%
600	1	0.1%
579	1	0.1%
545	1	0.1%
543	1	0.1%
540	1	0.1%
510	1	0.1%
495	2	0.3%

Insulin
Real number (ℝ)

Distinct	248
Distinct (%)	32.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.455956

Minimum	18.2
Maximum	67.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	18.2
5-th percentile	22.235
Q1	27.5
median	32.352224
Q3	36.6
95-th percentile	44.395
Maximum	67.1
Range	48.9
Interquartile range (IQR)	9.1

Descriptive statistics

Standard deviation	6.8751627
Coefficient of variation (CV)	0.21183054
Kurtosis	0.9199919
Mean	32.455956
Median Absolute Deviation (MAD)	4.5522241
Skewness	0.59890908
Sum	24926.174
Variance	47.267862
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	13	1.7%
31.2	12	1.6%
31.6	12	1.6%
32.35222405	11	1.4%
33.3	10	1.3%
32.4	10	1.3%
32.8	9	1.2%
30.1	9	1.2%
32.9	9	1.2%
30.8	9	1.2%
Other values (238)	664	86.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18.2	3	0.4%
18.4	1	0.1%
19.1	1	0.1%
19.3	1	0.1%
19.4	1	0.1%
19.5	2	0.3%
19.6	3	0.4%
19.9	1	0.1%
20	1	0.1%
20.1	1	0.1%

Value	Count	Frequency (%)
67.1	1	0.1%
59.4	1	0.1%
57.3	1	0.1%
55	1	0.1%
53.2	1	0.1%
52.9	1	0.1%
52.3	2	0.3%
50	1	0.1%
49.7	1	0.1%
49.6	1	0.1%

BMI
Real number (ℝ)

Distinct	136
Distinct (%)	17.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	120.89453

Minimum	0
Maximum	199
Zeros	5
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	0
5-th percentile	79
Q1	99
median	117
Q3	140.25
95-th percentile	181
Maximum	199
Range	199
Interquartile range (IQR)	41.25

Descriptive statistics

Standard deviation	31.972618
Coefficient of variation (CV)	0.26446703
Kurtosis	0.64077982
Mean	120.89453
Median Absolute Deviation (MAD)	20
Skewness	0.1737535
Sum	92847
Variance	1022.2483
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	17	2.2%
100	17	2.2%
106	14	1.8%
111	14	1.8%
129	14	1.8%
125	14	1.8%
105	13	1.7%
95	13	1.7%
108	13	1.7%
102	13	1.7%
Other values (126)	626	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.7%
44	1	0.1%
56	1	0.1%
57	2	0.3%
61	1	0.1%
62	1	0.1%
65	1	0.1%
67	1	0.1%
68	3	0.4%
71	4	0.5%

Value	Count	Frequency (%)
199	1	0.1%
198	1	0.1%
197	4	0.5%
196	3	0.4%
195	2	0.3%
194	3	0.4%
193	2	0.3%
191	1	0.1%
190	1	0.1%
189	4	0.5%

DiabetesPedigreeFunction
Real number (ℝ)

Distinct	517
Distinct (%)	67.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4718763

Minimum	0.078
Maximum	2.42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	0.078
5-th percentile	0.14035
Q1	0.24375
median	0.3725
Q3	0.62625
95-th percentile	1.13285
Maximum	2.42
Range	2.342
Interquartile range (IQR)	0.3825

Descriptive statistics

Standard deviation	0.3313286
Coefficient of variation (CV)	0.70215138
Kurtosis	5.5949535
Mean	0.4718763
Median Absolute Deviation (MAD)	0.1675
Skewness	1.9199111
Sum	362.401
Variance	0.10977864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.254	6	0.8%
0.258	6	0.8%
0.261	5	0.7%
0.207	5	0.7%
0.259	5	0.7%
0.238	5	0.7%
0.268	5	0.7%
0.304	4	0.5%
0.299	4	0.5%
0.692	4	0.5%
Other values (507)	719	93.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.078	1	0.1%
0.084	1	0.1%
0.085	2	0.3%
0.088	2	0.3%
0.089	1	0.1%
0.092	1	0.1%
0.096	1	0.1%
0.1	1	0.1%
0.101	1	0.1%
0.102	1	0.1%

Value	Count	Frequency (%)
2.42	1	0.1%
2.329	1	0.1%
2.288	1	0.1%
2.137	1	0.1%
1.893	1	0.1%
1.781	1	0.1%
1.731	1	0.1%
1.699	1	0.1%
1.698	1	0.1%
1.6	1	0.1%

Age
Real number (ℝ)

Distinct	52
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.240885

Minimum	21
Maximum	81
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.0 KiB

Quantile statistics

Minimum	21
5-th percentile	21
Q1	24
median	29
Q3	41
95-th percentile	58
Maximum	81
Range	60
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	11.760232
Coefficient of variation (CV)	0.35378816
Kurtosis	0.64315889
Mean	33.240885
Median Absolute Deviation (MAD)	7
Skewness	1.1295967
Sum	25529
Variance	138.30305
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	72	9.4%
21	63	8.2%
25	48	6.2%
24	46	6.0%
23	38	4.9%
28	35	4.6%
26	33	4.3%
27	32	4.2%
29	29	3.8%
31	24	3.1%
Other values (42)	348	45.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	63	8.2%
22	72	9.4%
23	38	4.9%
24	46	6.0%
25	48	6.2%
26	33	4.3%
27	32	4.2%
28	35	4.6%
29	29	3.8%
30	21	2.7%

Value	Count	Frequency (%)
81	1	0.1%
72	1	0.1%
70	1	0.1%
69	2	0.3%
68	1	0.1%
67	3	0.4%
66	4	0.5%
65	3	0.4%
64	1	0.1%
63	4	0.5%

Outcome
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	12.0 KiB

0	501
1	267

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	768
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	501	65.2%
1	267	34.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	501	65.2%
1	267	34.8%

Most occurring characters

Value	Count	Frequency (%)
0	501	65.2%
1	267	34.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	768	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	501	65.2%
1	267	34.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	768	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	501	65.2%
1	267	34.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	501	65.2%
1	267	34.8%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Glucose	BloodPressure	Insulin	BMI	DiabetesPedigreeFunction	Age	Outcome
0	72.238983	154.330247	32.352224	84.0	0.304	21.0	1
0	58.000000	190.000000	34.000000	98.0	0.430	43.0	1
1	82.000000	154.330247	28.200000	112.0	1.282	50.0	0
1	75.000000	154.330247	35.700000	112.0	0.148	21.0	0
2	46.000000	83.000000	28.700000	139.0	0.654	22.0	1
2	64.000000	154.330247	30.800000	108.0	0.158	21.0	1
3	50.000000	154.330247	21.900000	161.0	0.254	65.0	0
3	80.000000	154.330247	24.600000	107.0	0.856	34.0	0
4	80.000000	370.000000	46.200000	134.0	0.238	46.0	1
4	90.000000	154.330247	29.900000	136.0	0.210	50.0	1

	Glucose	BloodPressure	Insulin	BMI	DiabetesPedigreeFunction	Age	Outcome
604	52.000000	36.000000	27.8	74.0	0.269	22.0	1
605	64.000000	154.330247	34.2	111.0	0.260	24.0	0
606	74.000000	144.000000	36.1	138.0	0.557	50.0	1
607	88.000000	235.000000	39.3	126.0	0.704	27.0	0
608	76.000000	200.000000	35.9	122.0	0.483	26.0	0
609	64.000000	140.000000	28.6	139.0	0.411	26.0	0
610	122.000000	154.330247	22.4	96.0	0.207	27.0	0
611	86.000000	154.330247	45.6	101.0	1.136	38.0	1
612	72.238983	154.330247	42.4	141.0	0.205	29.0	1
613	96.000000	154.330247	22.5	125.0	0.262	21.0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Missing values

Sample